georob: Robust Geostatistical Analysis of Spatial Data

Provides functions for efficiently fitting linear models with spatially correlated errors by robust and Gaussian (Restricted) Maximum Likelihood and for computing robust and customary point and block external-drift Kriging predictions, along with utility functions for variogram modelling in ad hoc geostatistical analyses, model building, model evaluation by cross-validation, (conditional) simulation of Gaussian processes, unbiased back-transformation of Kriging predictions of log-transformed data.

Version: 0.3-6
Depends: R (≥ 2.14.0), parallel, snowfall, sp (≥ 0.9-60), stats
Imports: abind, constrainedKriging (≥ 0.2-1), fields, lmtest, methods, nlme, nleqslv, quantreg, RandomFields (≥ 3.0.10), robustbase (≥ 0.90-2)
Suggests: geoR, gstat, multcomp, lattice
Published: 2018-01-26
Author: Andreas Papritz [cre, aut], Cornelia Schwierz [ctb]
Maintainer: Andreas Papritz <andreas.papritz at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS ChangeLog
In views: Robust, Spatial
CRAN checks: georob results


Reference manual: georob.pdf
Vignettes: Tutorial and Manual for georob
Package source: georob_0.3-6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: georob_0.3-6.tgz
OS X Mavericks binaries: r-oldrel: georob_0.3-5.tgz
Old sources: georob archive

Reverse dependencies:

Reverse suggests: pedometrics


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